{
  "title": "Virtual : Public Sector and Debt Statistics",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2022/pdsce22-28v",
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  "summary": "Back to top Qualifications Participants should have a degree in economics or statistics or equivalent experience.",
  "publishDate": "2023-03-11",
  "sections": [
    {
      "heading": "Overview and logistics",
      "content": "- Session No.: CE 22.28 V\n- Location: Abu Dhabi, United Arab Emirates\n- Date: October 10-13, 2022 (1 week)\n- Delivery Method: Virtual Training\n- Primary Language: English\n- Interpretation Language: Arabic\n- Status: Deadline passed\n- Target Audience:\n  - Officials whose main responsibility is compiling public sector debt statistics.\n- Qualifications:\n  - Participants should have a degree in economics or statistics or equivalent experience."
    },
    {
      "heading": "Course description",
      "content": "- Conducted by the IMF Statistics Department.\n- Deals with the conceptual framework of public sector debt statistics as presented in the Public Sector Debt Statistics Guide and on the practical aspects of compiling public sector debt data.\n- Covers basic concepts, accounting principles, and detailed classifications discussed in the context of methodology harmonized with government finance statistics and the system of national accounts.\n- Examines coverage and accounting rules for public sector debt, valuation, classification, important methodological issues, and the sources and methods used for compiling the statistics.\n- Addresses reporting debt data to the IMF and the World Bank.\n- Organized around a series of case studies."
    },
    {
      "heading": "Course objectives",
      "content": "- Define gross and net debt and explain the basic concepts and accounting principles that apply to compilation of public sector debt statistics.\n- Classify public sector debt positions according to the Public Sector Debt Statistics Guide classifications.\n- Apply the general principles to classify an entity in the public sector and in relevant subsectors of the public sector, such as the general government and public corporations.\n- Report to the IMF and the World Bank quarterly public sector debt statistics covering¿at a minimum¿the central government."
    }
  ],
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    "Session No.: CE 22.28 V",
    "Location: Abu Dhabi, United Arab Emirates",
    "Date: October 10-13, 2022 (1 week)",
    "Delivery Method: Virtual Training",
    "Primary Language: English",
    "Interpretation Language: Arabic",
    "Status: Deadline passed",
    "Target Audience:",
    "Qualifications:",
    "Conducted by the IMF Statistics Department.",
    "Deals with the conceptual framework of public sector debt statistics as presented in the Public Sector Debt Statistics Guide and on the practical aspects of compiling public sector debt data.",
    "Covers basic concepts, accounting principles, and detailed classifications discussed in the context of methodology harmonized with government finance statistics and the system of national accounts.",
    "Examines coverage and accounting rules for public sector debt, valuation, classification, important methodological issues, and the sources and methods used for compiling the statistics.",
    "Addresses reporting debt data to the IMF and the World Bank.",
    "Organized around a series of case studies.",
    "Define gross and net debt and explain the basic concepts and accounting principles that apply to compilation of public sector debt statistics.",
    "Classify public sector debt positions according to the Public Sector Debt Statistics Guide classifications.",
    "Apply the general principles to classify an entity in the public sector and in relevant subsectors of the public sector, such as the general government and public corporations.",
    "Report to the IMF and the World Bank quarterly public sector debt statistics covering¿at a minimum¿the central government."
  ],
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  "generatedAtUtc": "2026-09-29T16:57:03.821Z"
}